Data/hora: 01/06/2024 02:35:09

Biblioteca(s): 	Embrapa Solos.	
Tipo da produção científica: 	Artigo em Anais de Congresso	
Data corrente: 	19/04/2018	
Data da última atualização: 	16/04/2019	
Autoria: 	COSTA, W.; FONSECA, L.; KÖRTING, T.; SIMÕES, M.; KUCHLER, P.	
Afiliação: 	WANDERSON COSTA, INPE; LEILA FONSECA, INPE; THALES KÖRTING, INPE; MARGARETH GONCALVES SIMOES, CNPS; PATRICK KUCHLER, UERJ; CIRAD.	
Título: 	A case study for a multitemporal segmentation approach in optical remote sensing images.	
Ano de publicação: 	2018	
Fonte/Imprenta: 	In: INTERNATIONAL CONFERENCE ON ADVANCED GEOGRAPHIC INFORMATION SYSTEMS, APPLICATIONS, AND SERVICES, 10., 2018, Rome. Proceedings... Haifa: Israel Institute of Technology, 2018. p. 66-70.	
Idioma: 	Inglês	
Notas: 	GEOProcessing 2018.	
Conteúdo: 	Continuous observations from remote sensors provide high temporal and spatial resolution imagery, and better remote sensing image segmentation techniques are mandatory for efficient analysis. Among them, one of the most applied segmentation techniques is the region growing algorithm. Within this context, this paper describes a study case for a multitemporal segmentation that adapts the traditional region growing technique. Our method aims to detect homogeneous regions in space and time observing a sequence of optical remote sensing images. Tests were conducted by considering the Dynamic Time Warping distance as the homogeneity criterion to grow regions. A case study on high temporal resolution for sequences of Landsat-8 vegetation indices products provided satisfactory outputs.	
Palavras-Chave: 	Dynamic Time Warping; Processamento de imagem; Segmentação multitemporal.	
Thesagro: 	Sensoriamento remoto; Sistema de informação geográfica.	
Categoria do assunto: 	P Recursos Naturais, Ciências Ambientais e da Terra	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/175690/1/2018-012.pdf	
Registro original: 	Embrapa Solos (CNPS)	
Exemplares: 	CNPS - (19869-1) - UPC - AA - DD -  -  - 2018.00136 - DIS